Ultrasensitive Exhaled Breath Sensors Based on Anti‐Resonant Hollow Core Fiber with In Situ Grown ZnO‐Bi2O3 Nanosheets
Abstract
Combination of anti‐resonant hollow‐core fiber (HCF) and semiconductor nanomaterial is an effective strategy to obtain high‐performance gas sensors with exceptional sensitivity and low power consumption. However, controlling the semiconductor morphology onto HCF is a major challenge to achieve the desired gas sensor with the enhanced sensitivity. Here, a ZnO‐Bi 2 O 3 nanosheets (NSs) heterostructure is grown in situ on the surface of HCF by sol–gel and hydrothermal methods. ZnO‐Bi 2 O 3 NSs serving as electron acceptors trap electrons after acetone adsorption and then change the refractive index of the surface of HCF. Benefiting from the unique sheet structure and the synergetic effects for multi‐component, the resulting ZnO‐Bi 2 O 3 NSs enabled HCF gas sensor exhibits high sensitivity, selectivity, and repeatability for detecting acetone at room temperature, particularly in the low concentration range, with the theoretical limit of detection down to 140 parts‐per‐billion. Meanwhile, the successful application of the ZnO‐Bi 2 O 3 NSs enabled HCF gas sensor to distinguish the exhaled breath from the healthy individuals and simulated diabetic cases is demonstrated, which paves the way to achieve non‐invasive, ultra‐sensitivity gas sensing at room temperature for the early diagnosis of diabetes.
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Acetone concentration in breath can be used as a biomarker for diabetes.
“the acetone concentration in the breath can be used as a biomarker for diabetes”
From Functionalized Hydrogel-Based Wearable Gas and Humidity Sensors. (2023) · cites this paper as [25]
Detection of breath humidity enables respiratory monitoring.
“the detection of breath humidity enables respiratory monitoring”
From Functionalized Hydrogel-Based Wearable Gas and Humidity Sensors. (2023) · cites this paper as [25]
Cited by
Sorted by citations
Functionalized Hydrogel-Based Wearable Gas and Humidity Sensors.
Luo, Y., Li, J., Ding, Q., Wang, H., Liu, C., & Wu, J. (2023) · Nano-Micro Letters · doi:10.1007/s40820-023-01109-2 · Cited by 236 · see citing works
Electrical sensing of volatile organic compounds in exhaled breath for disease diagnosis
Yan, H., & Zhou, Y.-G. (2022) · Current Opinion in Electrochemistry · doi:10.1016/j.coelec.2021.100922 · Cited by 29 · see citing works
- Authors
- Liu, W., Zheng, Y., Wang, Z., Wang, Z., Yang, J., Chen, M., Qi, M., Ur Rehman, S., Shum, P. P., Zhu, L., & Wei, L.
- Affiliations
- Nanyang Technological University (SG)
- Key Laboratory of Optoelectronic Device and Systems of Ministry of Education and Guangdong Province College of Optoelectronic Engineering Shenzhen University Shenzhen 518060 P. R. China
- Southern University of Science and Technology (CN)
- Shenzhen University (CN)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Zhu, Ling
- Wei, Lei
- ORCID
- Venue
- Advanced Materials Interfaces
- Publisher
- Wiley
- Published
- 2021-02
- Volume
- 8
- Issue
- 6
- ISSN
- 2196-7350 (ISSN-L)
- OpenAlex
- W3203001635
- Cited by
- 77
- References
- 0
- Citations by year
- 2026: 2 · 2025: 10 · 2024: 5 · 2023: 7 · 2022: 51 · 2021: 2
- FWCI
- 4.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Advanced Materials Interfaces (publishedVersion)
- DR-NTU (Nanyang Technological University) (submittedVersion)
- Funders
- Agency for Science, Technology and Research (A2083c0062)
- National Research Foundation Singapore (NRF‐CRP18‐2017‐02)
- Ministry of Education - Singapore (MOE2019‐T2‐2‐127, T2EP50120‐000, RG90/19)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Gas Sensing Nanomaterials and Sensors
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Fiber Optic Sensors
- Physical Sciences › Chemistry › Spectroscopy › Spectroscopy and Laser Applications
- Keywords
- anti-resonant hollow-core fiber, acetone detection, room-temperature gas sensing, in situ growth, heterostructures, electron acceptors, refractive index change, diabetes diagnosis, non-invasive diagnosis, low-concentration detection
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